Hindsight Experience Replay

5 July 2017

Pieter Abbeel

Papers citing "Hindsight Experience Replay"

50 / 1,245 papers shown

Title
Direct then Diffuse: Incremental Unsupervised Skill Discovery for State Covering and Goal Reaching Pierre-Alexandre Kamienny Jean Tarbouriech Sylvain Lamprier A. Lazaric Ludovic Denoyer SSL 45 18 0 27 Oct 2021
Learning Domain Invariant Representations in Goal-conditioned Block MDPs Beining Han Chongyi Zheng Harris Chan Keiran Paster Michael Ruogu Zhang Jimmy Ba OOD AI4CE 20 13 0 27 Oct 2021
Learning Diverse Policies in MOBA Games via Macro-Goals Yiming Gao Bei Shi Xueying Du Liang Wang Guangwei Chen ... Weixuan Wang Deheng Ye Qiang Fu Wei Yang Lanxiao Huang 29 10 0 27 Oct 2021
Multitask Adaptation by Retrospective Exploration with Learned World Models Artem Zholus Aleksandr I. Panov CLL 27 0 0 25 Oct 2021
Goal-Aware Cross-Entropy for Multi-Target Reinforcement Learning Kibeom Kim Min Whoo Lee Yoonsung Kim Je-hwan Ryu Minsu Lee Byoung-Tak Zhang 24 8 0 25 Oct 2021
Learning Stochastic Shortest Path with Linear Function Approximation Steffen Czolbe Jiafan He Adrian Dalca Quanquan Gu 44 30 0 25 Oct 2021
Mixture-of-Variational-Experts for Continual Learning Y. Yin Yu Wang CLL FedML 23 6 0 25 Oct 2021
Contrastive Active Inference Pietro Mazzaglia Tim Verbelen Bart Dhoedt 17 25 0 19 Oct 2021
Discovering and Achieving Goals via World Models Russell Mendonca Oleh Rybkin Kostas Daniilidis Danijar Hafner Deepak Pathak 32 119 0 18 Oct 2021
Learn Proportional Derivative Controllable Latent Space from Pixels Weiyao Wang Marin Kobilarov Gregory Hager 56 1 0 15 Oct 2021
Wasserstein Unsupervised Reinforcement Learning Shuncheng He Yuhang Jiang Hongchang Zhang Jianzhun Shao Xiangyang Ji OffRL 22 22 0 15 Oct 2021
Improving the sample-efficiency of neural architecture search with reinforcement learning A. Nagy Ábel Boros 33 3 0 13 Oct 2021
StARformer: Transformer with State-Action-Reward Representations for Visual Reinforcement Learning Jinghuan Shang Kumara Kahatapitiya Xiang Li Michael S. Ryoo OffRL 45 33 0 12 Oct 2021
Planning from Pixels in Environments with Combinatorially Hard Search Spaces Marco Bagatella Miroslav Olsák Michal Rolínek Georg Martius OffRL 26 6 0 12 Oct 2021
Auditing Robot Learning for Safety and Compliance during Deployment Homanga Bharadhwaj 24 3 0 12 Oct 2021
Braxlines: Fast and Interactive Toolkit for RL-driven Behavior Engineering beyond Reward Maximization S. Gu Manfred Diaz Daniel Freeman Hiroki Furuta Seyed Kamyar Seyed Ghasemipour Anton Raichuk Byron David Erik Frey Erwin Coumans Olivier Bachem 44 14 0 10 Oct 2021
Learning Visual Shape Control of Novel 3D Deformable Objects from Partial-View Point Clouds Bao Thach Brian Y. Cho Alan Kuntz Tucker Hermans 3DPC 10 30 0 10 Oct 2021
Human-Aware Robot Navigation via Reinforcement Learning with Hindsight Experience Replay and Curriculum Learning Keyu Li Ye Lu Max Meng 12 9 0 09 Oct 2021
Improving Kinodynamic Planners for Vehicular Navigation with Learned Goal-Reaching Controllers Aravind Sivaramakrishnan Edgar Granados Seth Karten T. McMahon Kostas E. Bekris 24 7 0 08 Oct 2021
Learning to Centralize Dual-Arm Assembly Marvin Alles Elie Aljalbout 14 17 0 08 Oct 2021
Robotic Lever Manipulation using Hindsight Experience Replay and Shapley Additive Explanations Sindre Benjamin Remman A. Lekkas 25 14 0 07 Oct 2021
Designing Composites with Target Effective Young's Modulus using Reinforcement Learning Aldair E. Gongora Siddharth Mysore Beichen Li Wan Shou Wojciech Matusik E. Morgan Keith A. Brown Emily Whiting AI4CE 34 9 0 07 Oct 2021
Imaginary Hindsight Experience Replay: Curious Model-based Learning for Sparse Reward Tasks Robert McCarthy Qiang Wang S. Redmond OffRL 32 15 0 05 Oct 2021
Procedure Planning in Instructional Videos via Contextual Modeling and Model-based Policy Learning Jing Bi Jiebo Luo Chenliang Xu 76 48 0 05 Oct 2021
Large Batch Experience Replay Thibault Lahire M. Geist Emmanuel Rachelson OffRL 56 13 0 04 Oct 2021
Sim and Real: Better Together Shirli Di-Castro Shashua Dotan DiCastro Shie Mannor 58 11 0 01 Oct 2021
Decentralized Graph-Based Multi-Agent Reinforcement Learning Using Reward Machines Jueming Hu Zhe Xu Weichang Wang Guannan Qu Yutian Pang Yongming Liu 48 12 0 30 Sep 2021
Solving the Real Robot Challenge using Deep Reinforcement Learning Robert McCarthy Francisco Roldan Sanchez Qiang Wang David Córdova Bulens Kevin McGuinness Noel E. O'Connor S. Redmond 32 11 0 30 Sep 2021
Learning Dynamics Models for Model Predictive Agents M. Lutter Leonard Hasenclever Arunkumar Byravan Gabriel Dulac-Arnold Piotr Trochim N. Heess J. Merel Yuval Tassa AI4CE 57 26 0 29 Sep 2021
Deep Reinforcement Learning Versus Evolution Strategies: A Comparative Survey Amjad Yousef Majid Serge Saaybi Tomas van Rietbergen Vincent François-Lavet R. V. Prasad Chris Verhoeven OffRL 67 55 0 28 Sep 2021
Bottom-Up Skill Discovery from Unsegmented Demonstrations for Long-Horizon Robot Manipulation Yifeng Zhu Peter Stone Yuke Zhu 53 61 0 28 Sep 2021
Improved Soft Actor-Critic: Mixing Prioritized Off-Policy Samples with On-Policy Experience C. Banerjee Zhiyong Chen N. Noman 21 30 0 24 Sep 2021
Hierarchies of Planning and Reinforcement Learning for Robot Navigation J. Wöhlke Felix Schmitt H. V. Hoof 26 23 0 23 Sep 2021
Self-Supervised Learning to Prove Equivalence Between Straight-Line Programs via Rewrite Rules Steve Kommrusch Monperrus Martin L. Pouchet 30 9 0 22 Sep 2021
Long-Term Exploration in Persistent MDPs L. Ugadiarov Alexey Skrynnik Aleksandr I. Panov 38 1 0 21 Sep 2021
Learning offline: memory replay in biological and artificial reinforcement learning Emma Roscow Raymond Chua Rui Ponte Costa Matt W. Jones Nathan Lepora CLL OffRL 14 25 0 21 Sep 2021
Generalization in Text-based Games via Hierarchical Reinforcement Learning Yunqiu Xu Meng Fang Ling Chen Yali Du Chengqi Zhang AI4CE 45 20 0 21 Sep 2021
Lifelong Robotic Reinforcement Learning by Retaining Experiences Annie Xie Chelsea Finn OffRL CLL 109 43 0 19 Sep 2021
Hindsight Foresight Relabeling for Meta-Reinforcement Learning Michael Wan Jian-wei Peng Tanmay Gangwani 34 7 0 18 Sep 2021
Density-based Curriculum for Multi-goal Reinforcement Learning with Sparse Rewards Deyu Yang Hanbo Zhang Xuguang Lan Jishiyu Ding OffRL 35 2 0 18 Sep 2021
Conservative Data Sharing for Multi-Task Offline Reinforcement Learning Tianhe Yu Aviral Kumar Yevgen Chebotar Karol Hausman Sergey Levine Chelsea Finn OffRL 35 77 0 16 Sep 2021
Automated Testing with Temporal Logic Specifications for Robotic Controllers using Adaptive Experiment Design Craig Innes S. Ramamoorthy 24 5 0 16 Sep 2021
Multi-Task Learning with Sequence-Conditioned Transporter Networks M. H. Lim Andy Zeng Brian Ichter Maryam Bandari Erwin Coumans Claire Tomlin S. Schaal Aleksandra Faust 42 14 0 15 Sep 2021
Exploration in Deep Reinforcement Learning: From Single-Agent to Multiagent Domain Jianye Hao Tianpei Yang Hongyao Tang Chenjia Bai Jinyi Liu Zhaopeng Meng Peng Liu Zhen Wang OffRL 41 93 0 14 Sep 2021
Learning Visual Feedback Control for Dynamic Cloth Folding Julius Hietala David Blanco Mulero G. Alcan Ville Kyrki 42 27 0 10 Sep 2021
Self-supervised Reinforcement Learning with Independently Controllable Subgoals Andrii Zadaianchuk Georg Martius Fanny Yang SSL 69 16 0 09 Sep 2021
Eden: A Unified Environment Framework for Booming Reinforcement Learning Algorithms Ruizhi Chen Xiaoyu Wu Yansong Pan Kaizhao Yuan Ling Li ... Shaohui Peng Xishan Zhang Zidong Du Qi Guo Yunji Chen OffRL 39 3 0 04 Sep 2021
Learning Language-Conditioned Robot Behavior from Offline Data and Crowd-Sourced Annotation Suraj Nair E. Mitchell Kevin Chen Brian Ichter Silvio Savarese Chelsea Finn LM&Ro OffRL 41 154 0 02 Sep 2021
APS: Active Pretraining with Successor Features Hao Liu Pieter Abbeel 55 119 0 31 Aug 2021
A review of mobile robot motion planning methods: from classical motion planning workflows to reinforcement learning-based architectures Changyin Sun Zicheng He Chunwei Song Changyin Sun 43 54 0 31 Aug 2021